Table 2 Averaged AUC values for determining optimal σ in RBF kernel
From: Hadamard Kernel SVM with applications for breast cancer outcome predictions
σ |  |  |  |  |  |  |
|---|---|---|---|---|---|---|
Datasets | σ=0.01 | σ=0.1 | σ=1 | σ=10 | σ=100 | σ=1000 |
GSE1872 | 0.2379 ± 0.0538 | 0.2379 ± 0.0538 | 0.2379 ± 0.0538 | 0.2379 ± 0.0538 | 0.2379 ± 0.0538 | 0.2379 ± 0.0538 |
GSE32394 | 0.1811 ± 0.0707 | 0.1811 ± 0.0707 | 0.2044 ± 0.0845 | 0.6767 ± 0.1125 | 0.9456 ± 0.0133 | 0.9456 ± 0.0122 |
GSE59246 | 0.4408 ± 0.0446 | 0.4408 ± 0.0446 | 0.4408 ± 0.0446 | 0.4408 ± 0.0446 | 0.8424 ± 0.0379 | 0.8658 ± 0.0110 |
GSE59993 | 0.3542 ± 0.0283 | 0.3542 ± 0.0283 | 0.4305 ± 0.0355 | 0.8392 ± 0.0235 | 0.6937 ± 0.0340 | 0.6940 ± 0.0342 |
GSE25055 | 0.3651 ± 0.0182 | 0.3651 ± 0.0182 | 0.3651 ± 0.0182 | 0.3651 ± 0.0182 | 0.8092 ± 0.0156 | 0.7259 ± 0.0127 |
GSE1379 | 0.3952 ± 0.0478 | 0.3952 ± 0.0478 | 0.3982 ± 0.0468 | 0.3970 ± 0.0468 | 0.6712 ± 0.0294 | 0.6276 ± 0.0374 |